A Pythagorean Fuzzy Approach to Identify and Prioritize Factors Affecting Import Decisions in Wood Supply Chain
Wood is a highly sought-after commodity traded internationally to meet the global demand for building materials, furniture, and paper products. The decision-making process for wood imports is intricate and influenced by various factors. Prioritizing these factors helps decision-makers allocate resou...
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| Format: | Article |
| Language: | English |
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University of Zagreb, Faculty of Forestry and Wood Technology
2025-01-01
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| Series: | Drvna Industrija |
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| Online Access: | https://hrcak.srce.hr/file/476566 |
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| author | Hilal Singer Şükrü Özşahin |
| author_facet | Hilal Singer Şükrü Özşahin |
| author_sort | Hilal Singer |
| collection | DOAJ |
| description | Wood is a highly sought-after commodity traded internationally to meet the global demand for building materials, furniture, and paper products. The decision-making process for wood imports is intricate and influenced by various factors. Prioritizing these factors helps decision-makers allocate resources, time, and attention efficiently and make well-informed and strategically effective decisions. This study proposes an interval- valued Pythagorean fuzzy analytic hierarchy process (AHP)-based decision-making framework to identify and analyze factors influencing wood import decisions. With the aim in mind, four main factors are determined: “economic factors”, “political factors”, “material-related factors”, and “market factors”. Each main factor has four sub-factors. The interval-valued Pythagorean fuzzy AHP method reveals the weight of each factor based on experts’ perspectives. According to the results, the most important main factor is “economic factors”. The sub-factors with the highest local importance are: “supply chain and logistics management” in the “economic factors” group, “political stability” in the “political factors” group, “wood species” in the “material-related factors” group, and “demand and demand trends” in the “market factors” group. The global weights show that the most important sub-factors are “supply chain and logistics management”, “political stability”, and “wood species”. The model’s robustness is assessed through sensitivity, validity, and comparative analyses, and high stability is observed in the ranking of the factors. |
| format | Article |
| id | doaj-art-a2c2b045b1254ffc8b5f05bfc625cbfd |
| institution | OA Journals |
| issn | 0012-6772 1847-1153 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | University of Zagreb, Faculty of Forestry and Wood Technology |
| record_format | Article |
| series | Drvna Industrija |
| spelling | doaj-art-a2c2b045b1254ffc8b5f05bfc625cbfd2025-08-20T01:55:58ZengUniversity of Zagreb, Faculty of Forestry and Wood TechnologyDrvna Industrija0012-67721847-11532025-01-01761334510.5552/drvind.2025.0191A Pythagorean Fuzzy Approach to Identify and Prioritize Factors Affecting Import Decisions in Wood Supply ChainHilal Singer0Şükrü Özşahin1Karadeniz Technical University, Trabzon, TurkeyKaradeniz Technical University, Trabzon, TurkeyWood is a highly sought-after commodity traded internationally to meet the global demand for building materials, furniture, and paper products. The decision-making process for wood imports is intricate and influenced by various factors. Prioritizing these factors helps decision-makers allocate resources, time, and attention efficiently and make well-informed and strategically effective decisions. This study proposes an interval- valued Pythagorean fuzzy analytic hierarchy process (AHP)-based decision-making framework to identify and analyze factors influencing wood import decisions. With the aim in mind, four main factors are determined: “economic factors”, “political factors”, “material-related factors”, and “market factors”. Each main factor has four sub-factors. The interval-valued Pythagorean fuzzy AHP method reveals the weight of each factor based on experts’ perspectives. According to the results, the most important main factor is “economic factors”. The sub-factors with the highest local importance are: “supply chain and logistics management” in the “economic factors” group, “political stability” in the “political factors” group, “wood species” in the “material-related factors” group, and “demand and demand trends” in the “market factors” group. The global weights show that the most important sub-factors are “supply chain and logistics management”, “political stability”, and “wood species”. The model’s robustness is assessed through sensitivity, validity, and comparative analyses, and high stability is observed in the ranking of the factors.https://hrcak.srce.hr/file/476566wood importanalytic hierarchy processpythagorean fuzzy setexpert perspectivesupply chain |
| spellingShingle | Hilal Singer Şükrü Özşahin A Pythagorean Fuzzy Approach to Identify and Prioritize Factors Affecting Import Decisions in Wood Supply Chain Drvna Industrija wood import analytic hierarchy process pythagorean fuzzy set expert perspective supply chain |
| title | A Pythagorean Fuzzy Approach to Identify and Prioritize Factors Affecting Import Decisions in Wood Supply Chain |
| title_full | A Pythagorean Fuzzy Approach to Identify and Prioritize Factors Affecting Import Decisions in Wood Supply Chain |
| title_fullStr | A Pythagorean Fuzzy Approach to Identify and Prioritize Factors Affecting Import Decisions in Wood Supply Chain |
| title_full_unstemmed | A Pythagorean Fuzzy Approach to Identify and Prioritize Factors Affecting Import Decisions in Wood Supply Chain |
| title_short | A Pythagorean Fuzzy Approach to Identify and Prioritize Factors Affecting Import Decisions in Wood Supply Chain |
| title_sort | pythagorean fuzzy approach to identify and prioritize factors affecting import decisions in wood supply chain |
| topic | wood import analytic hierarchy process pythagorean fuzzy set expert perspective supply chain |
| url | https://hrcak.srce.hr/file/476566 |
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